MCP server for deterministic document infrastructure, enabling canonical normalization, schema validation, and grammar compilation for structured AI artifacts.
An open-source, local-first MCP server for automated Schema.org JSON-LD generation, GA4 metric validation, /llm.txt auditing, and content stickiness analytics.
MCP server exposing content contract validators (SEO.md, PRODUCTHUNT.md, LINKEDIN.md) as tools so AI agents can verify generated content against concrete rules without maintaining linters. It provides linting and JSON-LD export tools with config and content passed as parameters, not file paths.
A self-hosted content engine with an MCP interface that enables AI agents to read, write, and manage content models through tools like describe_model, create_type, draft, and publish.